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检索条件"机构=Services Computing Technology and System Laboratory School of Computer Science & Technology"
4344 条 记 录,以下是871-880 订阅
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Auto-MatRegressor材料性能自动预测器:解放材料机器学习"调参师"
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science Bulletin 2023年 第12期68卷 1259-1270,M0004页
作者: 刘悦 王双燕 杨正伟 Maxim Avdeev 施思齐 School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Shanghai Engineering Research Center of Intelligent Computing System Shanghai 200444China State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai 200444China Materials Genome Institute Shanghai UniversityShanghai 200444China Zhejiang Laboratory Hangzhou 311100China Australian Nuclear Science and Technology Organisation Sydney 2232Australia School of Chemistry The University of SydneySydney 2006Australia
机器学习因其能够快速、精准拟合数据的潜在模式而被广泛应用于材料构效关系研究。然而,材料科学家往往需要进行繁琐的模型选择及参数寻优才能构建出高精度预测模型,为了解放材料机器学习"调参师",本文研发了基于元学习的材... 详细信息
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Joint DNN Partition and Thread Allocation Optimization for Energy-Harvesting MEC systems
Joint DNN Partition and Thread Allocation Optimization for E...
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2025 Design, Automation and Test in Europe Conference, DATE 2025
作者: Shi, Yizhou Li, Liying Zeng, Yue Cong, Peijin Zhou, Junlong Nanjing University National Key Laboratory for Novel Software Technology Nanjing210023 China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Southeast University National Mobile Communications Research Laboratory Nanjing211111 China Key Laboratory of Embedded System and Service Computing Tongji University Ministry of Education Shanghai201804 China
Deep neural networks (DNNs) have demonstrated exceptional performance, leading to diverse applications across various mobile devices (MDs). Considering factors like portability and environmental sustainability, an inc... 详细信息
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Anomalous Behavior Identification with Visual Federated Learning in Multi-UAVs systems
Anomalous Behavior Identification with Visual Federated Lear...
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International Conference on Parallel and Distributed systems (ICPADS)
作者: Pengfei Wang Xinrui Yu Yefei Ye Heng Qi Shuo Yu Leyou Yang Qiang Zhang School of Computer Science and Technology Dalian University of Technology Dalian China Ministry of Education Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology) Dalian China School of Computer Science and Engineering Northeastern University Shenyang China
Anomaly detection aims to identify data or behav-iors that are different from the usual patterns. In traditional anomaly detection settings, edge devices collect the data and send it to a centralized server for model ...
来源: 评论
Design of Shared Register File of GPU Unified Shader Array  9
Design of Shared Register File of GPU Unified Shader Array
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9th IEEE International Conference on Cyber Security and Cloud computing and 8th IEEE International Conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2022
作者: Ze, Tian Xianglong, Ren Jun, Zhang Feihu, Fan Yue, Chen Xi'an XiangTeng Micro-Electronic Technology Co. Ltd Xi'an710068 China Key Laboratory of Aviation Science and Technology on Integrated Circuit and Micro-System Desigen Xi'an710068 China Northeastern Polytechnic University School of Computer Science Xi'an China
Unified Shader Array is the computation core of the Unified Shader Array GPU, and the shader cores are the basic shader unit. In order to support the large-scale and thread-level parallelism of GPU, a large number of ... 详细信息
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A Novel Two-Stage Method for Texture Defect Detection
A Novel Two-Stage Method for Texture Defect Detection
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Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE International Conference on
作者: Lu Liu Min Jiang Lifa Xu School of Computer Science and Technology Wuhan University of Science and Technology WuHan Hubei P.R. China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan Hubei China
Texture defect detection has wide applications in both textiles and industry, where traditional defect detection methods focus on costly manual labeling and defect samples are complex to collect in real-world industri...
来源: 评论
A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers
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Energy and AI 2023年 第4期14卷 221-237页
作者: Zhenglong Sun Ram Machlev Qianchao Wang Juri Belikov Yoash Levron Dmitry Baimel Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)JilinChina The Andrew and Erna Viterbi Faculty of Electrical&Computer Engineering Technion-Israel Institute of TechnologyHaifa 3200003Israel Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China Department of Software Science Tallinn University of TechnologyAkadeemia tee 15a12618 TallinnEstonia Department of Electrical and Electronics Engineering Sami Shamoon College of EngineeringBeer-Sheva84100Israel
In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical ***,at present,a core obstacle that prevents the direct compar... 详细信息
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Learning the continuous-time optimal decision law from discrete-time rewards
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National science Open 2024年 第5期3卷 130-147页
作者: Ci Chen Lihua Xie Kan Xie Frank Leroy Lewis Yilu Liu Shengli Xie School of Automation Guangdong University of TechnologyGuangdong Key Laboratory of IoT Information TechnologyGuangzhou 510006China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of EducationGuangzhou 510006China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou 510006China UTA Research Institute the University of Texas at ArlingtonFort Worth 76118USA Department of Electrical Engineering and Computer Science University of TennesseeKnoxville 37996USA Oak Ridge National Laboratory Oak Ridge 37830USA Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou 510006China
The concept of reward is fundamental in reinforcement learning with a wide range of applications in natural and social *** an interpretable reward for decision-making that largely shapes the system's behavior has ... 详细信息
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Breaking IoT Data Silos: Trustworthy Data Trading with Consortium Blockchain and Zero-Knowledge Proof
Breaking IoT Data Silos: Trustworthy Data Trading with Conso...
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International Conference on computer Supported Cooperative Work in Design
作者: Wanshan Liu Yubing Han Guijuan Wang Yao Huang Anming Dong Jiguo Yu Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Big Data Institute Qilu University of Technology Jinan China
The Internet of Things (IoT) connects numerous de-vices and sensors, generating data with significant informational and economic value. However, data silos hinder effective data utilization and trading, leading to the... 详细信息
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Energy-Aware Task Offloading for Rotatable STAR-RIS-Enhanced Mobile Edge computing systems
arXiv
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arXiv 2025年
作者: Yang, Dongdong Li, Bin Niyato, Dusit School of Computer Science Nanjing University of Information Science and Technology Nanjing210044 China Huzhou Key Laboratory of Urban Multidimensional Perception and Intelligent Computing Huzhou313000 China College of Computing and Data Science Nanyang Technological University Singapore
Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) can expand the coverage of mobile edge computing (MEC) services by reflecting and transmitting signals simultaneously, enabling ... 详细信息
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Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding
Rethinking the Video Sampling and Reasoning Strategies for T...
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2022 Findings of the Association for Computational Linguistics: EMNLP 2022
作者: Zhu, Jiahao Liu, Daizong Zhou, Pan Di, Xing Cheng, Yu Yang, Song Xu, Wenzheng Xu, Zichuan Wan, Yao Sun, Lichao Xiong, Zeyu Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology China ProtagoLabs Inc Microsoft Research Wangxuan Institute of Computer Technology Peking University China Beijing Institute of Technology China School of Sichuan University China Dalian University of Technology China Lehigh University United States School of Computer Sci. & Tech. Huazhong University of Science and Technology China
Temporal sentence grounding (TSG) aims to identify the temporal boundary of a specific segment from an untrimmed video by a sentence query. All existing works first utilize a sparse sampling strategy to extract a fixe... 详细信息
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